Starling LM 7B Alpha
Starling LM 7B Alpha is released 2024-02-05 in the Starling Alpha family with open-weight; evaluate it while provider pricing coverage matures.
- Family
- Starling Alpha
- Released
- 2024-02-05
- Context
- 8K
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open weights
- License
- Llama 2 CommunityCommercial use: conditional
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
No tracked provider pricing is available yet.
About
Starling-LM-7B-alpha is an advanced large language model developed by Berkeley NEST, utilizing the Openchat 3.5 framework, which builds on Mistral-7B-v0.1. It incorporates Reinforcement Learning from AI Feedback (RLAIF) and is fine-tuned with the Nectar dataset, comprising 183,000 chat prompts and 3.8 million pairwise comparisons. It excels in conversational tasks, scoring 8.09 on the MT Bench benchmark, surpassing most models except OpenAI's GPT-4 and GPT-4 Turbo. Despite its prowess in dialogue, content generation, and question answering, it struggles with reasoning and mathematics and sometimes produces verbose responses or is vulnerable to jailbreaking prompts, highlighting areas for potential enhancement 1 2 3.
Providers
No active provider routes are tracked for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
No tracked provider pricing is available yet.